Robotics & Machine Learning Daily News2024,Issue(Jun.14) :73-74.

Data on Machine Learning Detailed by Researchers at Xi’an Jiaotong University (Study On Flow Regime Prediction Model for Water-cooled Reactor Core Based On Machine Learning Algorithms)

西安交通大学研究人员详细介绍的机器学习数据(基于机器学习算法的水冷堆堆芯流型预测模型研究)

Robotics & Machine Learning Daily News2024,Issue(Jun.14) :73-74.

Data on Machine Learning Detailed by Researchers at Xi’an Jiaotong University (Study On Flow Regime Prediction Model for Water-cooled Reactor Core Based On Machine Learning Algorithms)

西安交通大学研究人员详细介绍的机器学习数据(基于机器学习算法的水冷堆堆芯流型预测模型研究)

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摘要

由一名新闻记者-机器人与机器学习每日新闻的工作人员新闻编辑-研究人员详细介绍了机器学习的新数据。根据《中华人民共和国西安消息》,NewsRx记者的研究表明:“核反应堆堆芯是核电站产生和传递热量的关键部件,准确预测堆芯流动和传热特性是反应堆系统设计的关键问题。流动状态与两相流体的热工水力特性密切相关。”

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – Researchers detail new data in Machine Learning. According to news originating from Xi’an, People’s Republic of China, by NewsRx correspondents, research stated, “The nuclear reactor core is the pivotal component in a nuclear power plant to generate and transfer heat, so accurate prediction of reactor core flow and heat transfer characteristics is a crucial problem f or the reactor system design. Flow regime is closely related to the thermal-hydraulic characteristics of two-phase fluid.”

Key words

Xi’an/People’s Republic of China/Asia/Algorithms/Cyborgs/Emerging Technologies/Machine Learning/Xi’an Jiaotong University

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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